Comments on "least squares restoration of multichannel images"

M. K. Ng; W. C. Kwan

doi:10.1109/78.960437

Comments on "least squares restoration of multichannel images"

M. K. Ng, W. C. Kwan

Department of Mathematics

Research output: Contribution to journal › Journal article › peer-review

7 Citations (Scopus)

Abstract

Constrained optimization of least squares restoration of multichannel images is studied. Correct matrix formulation of the constrained optimization is derived. The degradation of multichannel images is modeled by solving a equation linking the observed multichannel image to the original multichannel image.

Original language	English
Pages (from-to)	2885
Number of pages	1
Journal	IEEE Transactions on Signal Processing
Volume	49
Issue number	11
DOIs	https://doi.org/10.1109/78.960437
Publication status	Published - Nov 2001

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Image restoration
Least squares method

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10.1109/78.960437

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title = "Comments on {"}least squares restoration of multichannel images{"}",

abstract = "Constrained optimization of least squares restoration of multichannel images is studied. Correct matrix formulation of the constrained optimization is derived. The degradation of multichannel images is modeled by solving a equation linking the observed multichannel image to the original multichannel image.",

keywords = "Image restoration, Least squares method",

author = "Ng, {M. K.} and Kwan, {W. C.}",

note = "This work was supported in part by the Research Grant Council under HKU 7147/99P and 7132/00P and HKU CRCG Grant 10202720 and 10203501. Publisher Copyright: {\textcopyright} 2001 IEEE.",

year = "2001",

month = nov,

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journal = "IEEE Transactions on Signal Processing",

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AU - Ng, M. K.

AU - Kwan, W. C.

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N2 - Constrained optimization of least squares restoration of multichannel images is studied. Correct matrix formulation of the constrained optimization is derived. The degradation of multichannel images is modeled by solving a equation linking the observed multichannel image to the original multichannel image.

AB - Constrained optimization of least squares restoration of multichannel images is studied. Correct matrix formulation of the constrained optimization is derived. The degradation of multichannel images is modeled by solving a equation linking the observed multichannel image to the original multichannel image.

KW - Image restoration

KW - Least squares method

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DO - 10.1109/78.960437

M3 - Journal article

AN - SCOPUS:0035503164

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SP - 2885

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

IS - 11

ER -

Comments on "least squares restoration of multichannel images"

Abstract

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